Oak Ridge National Laboratory (ORNL) is seeking an AI Engineer to design, develop, and implement AI/ML tools and frameworks to drive efficiency, innovation, and data-driven decision-making.
Requirements
- Demonstrated experience in AI/ML software development and deployment.
- Strong proficiency in Microsoft Azure (e.g., OpenAI Studio, Azure SQL, AI/ML tools).
- Expertise in Python, PyTorch, TensorFlow, and AI/ML frameworks.
- Experience designing and deploying scalable CI/CD pipelines and AI solutions.
- Strong problem-solving skills, with the ability to work both independently and collaboratively.
- Experience with low-code/no-code tools and Microsoft Power Apps.
- Familiarity with generative AI tools (e.g., Hugging Face, LangChain).
Responsibilities
- Architect, develop, and deploy AI/ML utilizing AI/ML and Microsoft Azure related Power apps, including CoPilot Studio.
- Design and implement scalable AI systems, focusing on optimization, CI/CD pipelines, and model performance monitoring (e.g., LLM/GPT frameworks).
- Collaborate with business and scientific teams to identify needs, gather actionable requirements, and translate them into technical solutions.
- Lead the development of master data management systems to ensure data quality, transformation, and accessibility.
- Analyze emerging AI/ML trends, including generative AI, to shape and enhance ORNL's AI strategy.
- Contribute to the development of ORNL’s AI/ML tools, leveraging high-performance computing resources and AI-focused GPUs.
- Maintain adherence to software quality assurance standards and ITIL practices while aligning with project management guidelines.
Other
- Due to the security clearance requirements of this position, US citizenship is required for consideration.
- This position requires the ability to obtain and maintain a clearance from the Department of Energy.
- Visa sponsorship is not available for this position.
- Advocate for the ethical and responsible use of AI, ensuring alignment with ORNL policies.
- Partner with other DOE labs and industry leaders to establish ORNL as a center of excellence in AI/ML innovation and best practices.
